Part-per-trillion, selective, and robust nitric oxide sensing using FLOWER

Tsu-Te Judith Su; Yinchao Xu; Allison M. Stanko; Chloe S. Cerione; Trevor Lohrey; Euan McLeod; Brian M. Stoltz

doi:10.1117/12.3013915

10 June 2024 Part-per-trillion, selective, and robust nitric oxide sensing using FLOWER

Tsu-Te Judith Su, Yinchao Xu, Allison M. Stanko, Chloe S. Cerione, Trevor Lohrey, Euan McLeod, Brian M. Stoltz

Proceedings Volume 13056, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XXV; 1305609 (2024) https://doi.org/10.1117/12.3013915
Event: SPIE Defense + Commercial Sensing, 2024, National Harbor, Maryland, United States

Abstract

Nitric oxide (NO) sensing is important for many applications including air quality and climate change monitoring. Current sensors have limited sensitivity, selectivity, and are affected by environmental interference such as humidity, which affects their accuracy. We use an ultra-sensitive optical sensing platform known as FLOWER (frequency locked optical whispering evanescent resonator) and combine it with a custom synthesized polymer coating to detect NO at a concentration of 6 ppt, which to the best of our knowledge is the lowest experimentally reported detection of NO to date. In addition, we demonstrate that our sensor is selective and humidity resistant.

Conference Presentation

Citation Download Citation

Tsu-Te Judith Su, Yinchao Xu, Allison M. Stanko, Chloe S. Cerione, Trevor Lohrey, Euan McLeod, and Brian M. Stoltz "Part-per-trillion, selective, and robust nitric oxide sensing using FLOWER", Proc. SPIE 13056, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XXV, 1305609 (10 June 2024); https://doi.org/10.1117/12.3013915

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